Partial Parallel Interference Cancellation Employing Fuzzy Theory

Author

Zhang, Yongbo ; Shao, Tingting ; Li, Yanping

Author_Institution

Phys. & Electron. Inf. Coll., Yan´´an Univ., Yan´´an, China

Volume

1

fYear

2009

Firstpage

603

Lastpage

606

Abstract

Multiple access interference (MAI) is inevitable in all kinds of CDMA mobile communication systems. In order to decrease MAI efficiently parallel interference cancellation (PIC) was proposed, however, it would be injured by mistake decision. Thus a wide variety of partial parallel interference cancellation (PPIC) algorithms have been constructed so as to solve this problem. Under such background this paper applied basic fuzzy theory to PIC and generated a new PPIC algorithm - fuzzy parallel interference cancellation based on estimated signal-to-interference ratio (SIR-FPIC). Matlab simulation results showed that SIR-FPIC algorithm was able to lower the system bit error rate compared with conventional PIC and improve the reception capability.

Keywords

code division multiple access; error statistics; fuzzy set theory; interference suppression; mobile communication; multiuser detection; parallel algorithms; CDMA mobile communication system; MAI; Matlab simulation; PIC; bit error rate; fuzzy theory; multiple access interference; multiuser detection; partial parallel interference cancellation algorithm; AWGN; Base stations; Educational institutions; Fuzzy systems; Interference cancellation; Mathematical model; Mobile communication; Multiaccess communication; Multiple access interference; Multiuser detection; ICF; PPIC; SIR-FPIC; membership function;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Engineering, 2009. ICIE '09. WASE International Conference on

Print_ISBN

978-0-7695-3679-8

Type

conf

DOI

10.1109/ICIE.2009.272

Filename

5211522